Why this role is compelling
At DDN, you will work on problems that sit at the heart of modern infrastructure:
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Scaling and optimizing Network File Systems
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Building and improving distributed file systems and object storage
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Tuning performance across kernel-level and user-space I/O stacks
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Working with NVMe, SSDs, RDMA, and high-speed networking
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Integrating storage platforms into Kubernetes-native environments
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Using Python to automate, debug, test, and improve complex systems
Your work will directly influence how high-performance data platforms behave under real-world load, not just in theory.
What you’ll do
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Design, build, and optimize features across DDN’s NFS and storage stack
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Diagnose bottlenecks across file systems, storage media, networking, and I/O paths
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Improve performance, scalability, and resiliency in distributed storage environments
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Work across kernel-space and user-space components to solve hard systems problems
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Collaborate with engineers across storage, systems, and platform layers
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Develop tooling and automation in Python to improve observability, testing, and operations
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Help shape the next generation of infrastructure for AI and data-intensive workloads
What we’re looking for
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Strong hands-on experience with Network File Systems (NFS)
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Deep understanding of distributed file systems
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Experience with object storage
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Production experience with Kubernetes
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Strong Python skills
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Experience working on kernel-level and/or user-space I/O stacks
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Familiarity with NVMe, SSDs, RDMA, and high-speed networking
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A systems mindset: you know how to debug complex performance and reliability issues across layers
You’ll thrive here if
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You are energized by low-level systems work
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You like solving problems most engineers avoid because they are too deep, too subtle, or too performance-sensitive
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You care about the details of how storage and networking behave under pressure
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You want your work to matter in environments where performance is mission-critical
This role is probably not for you if
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Your background is primarily general backend, SRE, or platform engineering without deep storage/filesystem ownership
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You’ve used storage systems, but haven’t built or debugged them at a systems level
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You prefer abstraction layers over getting hands-on with performance, I/O paths, and infrastructure internals
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You want a role focused on coordination more than engineering depth
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